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April 1, 2019
Cost forecasts in Cloud Billing reports now includes both your long term cost trend as well as any consistent monthly cycles such as sustained use discounts. Including monthly cycles in your cost forecast makes it easier to see at a glance how how much you are projected to spend by the end of the month. See the documentation for more details.
March 14, 2019
Budget alerts against forecasted costs: You can now configure budget alerts for when your costs are forecasted to exceed your budget. For each budget you have configured, you can set multiple budget alert threshold rules, triggered against either actual costs or forecasted costs, so you can stay informed of how your spend is tracking against your budget and avoid billing surprises. See the documentation for more details.
February 4, 2019
Cloud Billing reports now support detailed credit types in the report settings.
Previously, costs were reported as cost before credits, credits, and cost after credits. The credit amount displayed was a sum of all possible credit types.
With this launch, you can now see what types of credits (discounts, promotions, etc.) comprise the credit amount displayed in the report. In the report settings, you can toggle on and off the different types of credits to customize your report views. See the billing reports documentation for details.
December 13, 2018
Complete Billing Record in Export:
Starting with your January 2019 invoice (issued in early February 2019)
you can reconcile your Cloud Billing export to
BigQuery to your invoice, to the penny. The export now
cost_type field to identify regular, tax, adjustment,
and rounding error costs. See the
example queries for more details.
Folders in Export: Cloud Billing
export to BigQuery now includes the folder(s) and
organization (if applicable) that a project belongs to (its project ancestry).
This helps you do things like query costs by folder. See the
documentation for more details about
November 30, 2018
Cloud Billing reports now support a bar chart view. See the billing reports documentation for details.
September 17, 2018
Cloud Billing export to
BigQuery now includes additional location and system label
fields to let you examine your cost data in more granular detail. Location
details allow you to view your costs in each GCP region and
zone, where supported by the service. System labels allow you to segment your
costs by virtual machine type, number of cores, or amount of RAM. The
compute.googleapis.com/machine_spec system label should now
be used in place of
sku.description to query costs by virtual
machine family and geometry. See the
documentation for more details about the new fields.
August 6, 2018
A new Cloud Billing IAM permission
is now available that gives you finer control over what cost data your users
can see. You can now use
billing.resourceCosts.get to grant project-specific access
to cost data like billing reports.
The new permission was added on August 6, 2018. To give you time to set up
your users with the correct permissions, the new permission will not be
enforced until August 20, 2018. See the
documentation for more details.
July 9, 2018
Cost forecasts are now available as a GA feature in Cloud Billing reports. Cost forecasts make it easier to see at a glance how your costs are trending and how much you are projected to spend. See the blog and documentation for more details.
May 31, 2018
May 22, 2018
Cloud Billing programmatic notifications for budget alerts is now available in GA. You can configure programmatic notifications to receive Cloud Pub/Sub messages about the current status of your budget. See the blog and documentation for more details.
April 24, 2018
March 30, 2018
Cloud Billing programmatic notifications for budget alerts is now available in Beta. You can configure programmatic notifications to receive Cloud Pub/Sub messages about the current status of your budget. See the documentation for more details.
March 20, 2018
February 27, 2018
November 15, 2017
Cloud Billing export to BigQuery is now available in GA. BigQuery billing export regularly publishes new SKU usage and cost data to your BigQuery dataset. You can write SQL queries to understand your spending and use the BigQuery dataset to drive visualization tools like Data Studio. See the blog and documentation for more details.